class_docstr: Returns greedy samples of a given policy.
class_docstr_tok: ["Returns","greedy","samples","of","a","given","policy","."]
code: def _variables(self):
      return self._wrapped_policy.variables()
  
file_path: agents/tf_agents/policies/greedy_policy.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from typing import Optional, Text
  import gin
  import tensorflow
  import tensorflow_probability
  from tf_agents.policies import tf_policy
  from tf_agents.trajectories import policy_step
label_desc: Use image node_id 3 for calling the GreedyPolicy obj's underlying member method code with example usage: obj._variables() and returns: self